code: def transform_image(image):
      image = np.array(image) - np.array([123.0, 117.0, 104.0])
      image /= np.array([58.395, 57.12, 57.375])
      image = image.transpose((2, 0, 1))
      image = image[np.newaxis, :]
      return image
  
file_path: tvm/gallery/how_to/compile_models/from_mxnet.py
imports: import mxnet
  import tvm
  import tvm.relay
  import numpy
  from tvm.contrib.download import download_testdata
  from mxnet.gluon.model_zoo.vision import get_model
  from PIL import Image
  from matplotlib import pyplot
  from tvm.contrib import graph_executor
label_desc: Use image node_id 1 for calling a global function with example usage: transform_image(image) and returns: image